Codebook for Study 3 Replication:

rid: unique respondent identifier provided by Luc.id, character variable

ResponseId: unique respondent identifier provided by Qualtrics, character variable

-----------------------------------------------------------

Experimental variables:

Manipulated variables: 

metoo3_treatment_comm: binary character variable indicating the type of communication randomized to the respondent

- apology
- denial

metoo3_treatment_evidence: binary character variable indicating the randomized timing of showing evidence for the allegation

- before: if respondent saw the evidence before receiving the communication
- after: if respondent saw the evidence after receiving the communication

Outcome measures:

STAGE 1: AFTER ALLEGATION

serious_alleg_1: perceived seriousness of the allegation, numeric variable 0-100 (100 max)

likely_alleg_1: respondents' self-reported belief in the accusation, numeric variable 0-100 (100 max)

resign_alleg_1: respondents' support for the politician to resign, numeric variable 0-100 (100 max)

STAGE 2: AFTER COMMUNICATION (OR EVIDENCE)

serious_2_1: perceived seriousness of the allegation, numeric variable 0-100 (100 max)

likely_2_1: respondents' self-reported belief in the accusation, numeric variable 0-100 (100 max)

resign_2_1: respondents' support for the politician to resign, numeric variable 0-100 (100 max)

STAGE 3: AFTER EVIDENCE (OR COMMUNICATION)

serious_3_1: perceived seriousness of the allegation, numeric variable 0-100 (100 max)

likely_3_1: respondents' self-reported belief in the accusation, numeric variable 0-100 (100 max)

resign_3_1: respondents' support for the politician to resign, numeric variable 0-100 (100 max)


RESPONDENT-LEVEL BASELINES MEASURES:

resign_base : assigned from numeric variable of 'resign_alleg_1' (stage 1 resignation support)

likely_base : assigned from numeric variable of 'likely_alleg_1' (stage 1 beliefs)


NEW VARIABLES AFTER STACKING DATA BY RESPONDENTS (3 measures: stage 1, stage 2, stage 3):

treatment: factor with 8 levels indicating treatment group (measurement stage (within randomization) AND communication AND evidence timing (between randomization))

- control: in stacked data, if measurement stage is allegation (stage 1): equivalent to only allegation

- evidence only: in stacked data, if the measurement stage is 2 AND if 'metoo3_treatment_evidence' is 'before' (both for 'metoo3_treatment_comm' is 'denial' and 'apology'): equivalent to only seen evidence

- denial only: in stacked data, if the measurement stage is 2 AND if 'metoo3_treatment_evidence' is 'after' AND 'metoo3_treatment_comm' is 'denial': equivalent to only seen denial

- apology only: in stacked data, if the measurement stage is 2 AND if 'metoo3_treatment_evidence' is 'after' AND 'metoo3_treatment_comm' is 'apology': equivalent to only seen apology

- evidence then denial: in stacked data, if the measurement stage is 3 AND if 'metoo3_treatment_evidence' is 'before' AND 'metoo3_treatment_comm' is 'denial': equivalent to first seen evidence then seen denial

- evidence then apology: in stacked data, if the measurement stage is 3 AND if 'metoo3_treatment_evidence' is 'before' AND 'metoo3_treatment_comm' is 'apology': equivalent to first seen evidence then seen apology

- denial then evidence: in stacked data, if the measurement stage is 3 AND if 'metoo3_treatment_evidence' is 'after' AND 'metoo3_treatment_comm' is 'denial': equivalent to first seen denial then seen evidence

- denial then apology: in stacked data, if the measurement stage is 3 AND if 'metoo3_treatment_evidence' is 'after' AND 'metoo3_treatment_comm' is 'apology': equivalent to first seen apology then seen evidence


resign: unite 'resign_pre' and 'resign_post' variable post-stacking and indexing for measurement stage

likely: unite 'likely_pre' and 'likely_post' variable post-stacking and indexing for measurement stage


-----------------------------------------------------------

Demographic variables provided by Luc.id panel:

age: age of the respondent, numeric variable

gender.0: self-reported gender of the respondent, numeric variable, 1: Male, 2: Female

hhi: self-reported level of household income, numeric variable ranging from 1-24.
1: less than 14,999 $
2-18: increase by 5,000 $ in intervals (e.g. 2: 15,000 - 19,999 $)
19-22: increase by 25,000 $ intervals (e.g., 19: 100,000 - 124,999 $)
23: 200,000 - 249,999 $
24: above 250,000 $
-3105: Prefer not to answer

education: self-reported level of highest education, numeric variable ranging from 1-8

1: Less than HS
2: HS
3: Vocational, post HS
4: Some college, but nit finished
5: Associate's degree
6: Bachelor's degree
7: Master's degree
8: Doctorate degree
-3105: Prefere not to answer

ethnicity: self-reported ethnicity of the respondent, numeric variable ranging from 1-16

1: White
2: Black, or African American
3: American Indian or Alaskan Native
4: Asian Indian
5: Chinese
6: Filipino
7: Japanese
8: Korean
9: Vietnamese
10:Asian Other
11: Native Hawaiian
12: Guamanaian
13: Samoan
14: Other Pacific Islander
15: Some other ethnicity
16: Prefer not to answer

hispanic: if respondent is hispanic, numeric variable ranging from 1-15

1: No, not hispanic
2: Mexican
3: Cuban
4: Argentina
5: Colombia
6: Ecuador
7: El Salvador
8: Guatemala
9: Nicaragua
10: Panama
11: Peru
12: Spain
13: Venezuela
14: Other country
15: Prefer not to answer
